Grid Computing

Grid Computing is an emerging computing model that provides the ability to perform higher throughput computing by taking advantage of many networked computers to model a virtual computer architecture that is able to distribute process execution across a parallel infrastructure. Grids use the resources of many separate computers connected by a network (usually the Internet) to solve large-scale computation problems.

This report describes how improving the efficiency of data storage, deduplication solutions has enabled organizations to cost-justify the increased use of disk for backup and recovery. However, the changing demands on IT storage infrastructures have begun to strain the capabilities of initial deduplication products. To meet these demands, a new generation of deduplication solutions is emerging which scale easily, offer improved performance and availability and simplify management and integration within the IT storage infrastructure. HP refers to this new generation as "Deduplication 2.0.

In this on-demand video broadcast, hear Nir Zuk, CTO and co-founder of Palo Alto Networks and Rich Mogull, Analyst and CEO of Securosis, provide insights and recommendations on how to handle consumerization and the proliferation of devices.

This paper explores issues that arise when planning for growth of Information Technology infrastructure and explains how colocation of data centers can provide scalability, enabling users to modify capacity quickly to meet fluctuating demand.

Layered Tech's engineers created a customized package of virtual private data centers (VPDCs), managed services and disaster recovery solutions that support KANA's clients, large and small. Layered Tech tailored the architecture to meet the highest enterprise security requirements, as well as ensuring that each KANA client can deploy applications that scale to ongoing volume fluctuations.

This Cloud Computing Trends Report provided insight into the expectations small, medium and large businesses have of cloud computing, their intended uses, reasons for adopting, and expected time-frames for implementing cloud-based solutions.

Independent research firm Knowledge Integrity Inc. examine two high performance computing technologies that are transitioning into the mainstream: high performance massively parallel analytical database management systems (ADBMS) and distributed parallel programming paradigms, such as MapReduce, (Hadoop, Pig, and HDFS, etc.). By providing an overview of both concepts and looking at how the two approaches can be used together, they conclude that combining a high performance batch programming and execution model with an high performance analytical database provides significant business benefits for a number of different types of applications.

Organizations serving the intelligence & defense community rely on the performance of their applications for more than revenue - national security depends upon those applications for mission-critical operations. This industry profile details how Appistry provides the reliability and performance demanded by intelligence & defense organizations.